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2020 – today
- 2024
[c23]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu:
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. AAAI 2024: 9414-9421- [c22]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 2024 - [c21]Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter:
Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA 2024: 15083-15091 - [i27]Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei:
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. CoRR abs/2403.19913 (2024) - [i26]Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan:
Hypothesis Generation with Large Language Models. CoRR abs/2404.04326 (2024) - [i25]Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter:
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR abs/2404.19221 (2024) - [i24]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue:
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. CoRR abs/2406.12242 (2024) - [i23]Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, Hongyuan Mei:
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. CoRR abs/2410.04526 (2024) - 2023
- [c20]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI 2023: 9543-9551 - [c19]Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin
:
Robustness of Learning from Task Instructions. ACL (Findings) 2023: 13935-13948 - [c18]Zhiyue Zhang, Hongyuan Mei, Yanxun Xu:
Continuous-Time Decision Transformer for Healthcare Applications. AISTATS 2023: 6245-6262 - [c17]Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei:
Explicit Planning Helps Language Models in Logical Reasoning. EMNLP 2023: 11155-11173 - [c16]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS 2023 - [i22]Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei:
Explicit Planning Helps Language Models in Logical Reasoning. CoRR abs/2303.15714 (2023) - [i21]Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei:
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. CoRR abs/2304.02868 (2023) - [i20]Li Du, Hongyuan Mei, Jason Eisner:
Autoregressive Modeling with Lookahead Attention. CoRR abs/2305.12272 (2023) - [i19]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR abs/2305.16646 (2023) - [i18]Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter:
Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR abs/2306.17840 (2023) - [i17]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR abs/2307.08097 (2023) - [i16]Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Y. Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei:
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. CoRR abs/2308.05361 (2023) - 2022
- [c15]Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei:
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. EMNLP (Findings) 2022: 5750-5768 - [c14]Hongyu Zhao, Hao Tan, Hongyuan Mei:
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. EMNLP 2022: 6626-6638 - [c13]Hongyuan Mei, Chenghao Yang, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR 2022 - [c12]Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS 2022 - [i15]Chenghao Yang, Hongyuan Mei, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR abs/2201.00044 (2022) - [i14]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR abs/2201.12569 (2022) - [i13]Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR abs/2210.01753 (2022) - [i12]Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei:
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. CoRR abs/2210.10041 (2022) - [i11]Hongyu Zhao, Hao Tan, Hongyuan Mei:
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. CoRR abs/2211.01979 (2022) - 2020
- [c11]Jie Shan, Hongyuan Mei:
A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children. ICEBT 2020: 61-65 - [c10]Shuo Chen, Hongyuan Mei:
Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns. ICIEI 2020: 61-65 - [c9]Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner:
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML 2020: 6808-6819 - [c8]Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS 2020 - [i10]Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner:
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR abs/2006.16723 (2020) - [i9]Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. CoRR abs/2011.00717 (2020)
2010 – 2019
- 2019
- [c7]Hongyuan Mei, Guanghui Qin, Jason Eisner:
Imputing Missing Events in Continuous-Time Event Streams. ICML 2019: 4475-4485 - [c6]Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL-HLT (1) 2019: 4100-4106 - [i8]Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. CoRR abs/1902.10193 (2019) - [i7]Hongyuan Mei, Guanghui Qin, Jason Eisner:
Imputing Missing Events in Continuous-Time Event Streams. CoRR abs/1905.05570 (2019) - 2018
- [c5]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [e1]Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra:
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-43-8 [contents] - [i6]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - 2017
- [c4]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-Based Language Models. AAAI 2017: 3252-3258 - [c3]Hongyuan Mei, Jason Eisner:
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. NIPS 2017: 6754-6764 - 2016
- [c2]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. AAAI 2016: 2772-2778 - [c1]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. HLT-NAACL 2016: 720-730 - [i5]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-based Language Models. CoRR abs/1611.06997 (2016) - [i4]Hongyuan Mei, Jason Eisner:
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. CoRR abs/1612.09328 (2016) - 2015
- [i3]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. CoRR abs/1506.04089 (2015) - [i2]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. CoRR abs/1509.00838 (2015) - [i1]Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Accurate Vision-based Vehicle Localization using Satellite Imagery. CoRR abs/1510.09171 (2015)
Coauthor Index
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last updated on 2024-11-13 23:43 CET by the dblp team
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